55c509daf5
ggml : refactor llamafile_sgemm PPC code ( #14673 )
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Remove un-necessary templates from class definition and packing functions
Reduce deeply nested conditionals, if-else switching in mnapck function
Replace repetitive code with inline functions in Packing functions
2 ~ 7% improvement in Q8 Model
15 ~ 50% improvement in Q4 Model
Signed-off-by: Shalini Salomi Bodapati <Shalini.Salomi.Bodapati@ibm.com>
2025-07-14 16:16:42 +03:00
60ef23d6c1
ggml-cpu: enable IBM NNPA Vector Intrinsics ( #14317 )
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* ggml-cpu: add nnpa compile flag
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 4a9f60c2018d4a7987f90ff0d651622f58bbcbb801b929491b157f856c34157f856c3418d79e1a30fbb733451fbd288e8fa5https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164176555
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* ggml: remove dependency on ggml-cpu from ggml-base
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* ggml-cpu: rename all fp16<->fp32 macros to prefix with ggml_cpu
ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164449406
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* ggml-cpu: remove mistaken fallback macro
fallback logic was already implemented but i was too sleepy to realise
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* ggml: move ggml_table_f32_f16 to ggml-cpu
ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164775006
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Revert "ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures"
This reverts commit 32a35335649e40d984adhttps://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164775006
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 9e40d984adf71b21d2f72dce119178
2025-06-25 23:49:04 +02:00
faed5a5f5d
llamafile : support s390x SIMD instruction set ( #14273 )
2025-06-19 11:48:54 +02:00
6adc3c3ebc
llama : add thread safety test ( #14035 )
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* llama : add thread safety test
* llamafile : remove global state
* llama : better LLAMA_SPLIT_MODE_NONE logic
when main_gpu < 0 GPU devices are not used
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-06-16 08:11:43 -07:00
3f3769ba76
ggml : Enable MMA for BF16 in llamafile_sgemm ( #13148 )
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This patch upstreams llamafile's cpu matrix multiplication kernels for ppc64le using MMA builtins for BF16 data type.
This change results in 9x - 40x gains
in total speed S t/s (ie all tokens/total time), across various batch sizes tested using llama-batched-bench benchmark.
The patch is tested with Meta-Lllama-3-8B,
and Mistral-7B models (BF16 models generated by using llama-quantize from corresponding FP32 models) on an IBM POWER10 machine.
Signed-off-by: Shalini Salomi Bodapati <Shalini.Salomi.Bodapati@ibm.com>
2025-05-02 19:53:12 +03:00
13731766db
llamafile : ppc64le GEMV forwarding for FP32. ( #12594 )
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This patch enables usage of MMA when one of the
dimensions of the matrix(ie either M or N) is 1. This
is useful in case of token generation where N < 2.
The concept of 'GEMV Forwarding' is used where when one
of the matrix has a single row/column, the elements are
broadcasted, instead of using packing routine to prepack
the matrix elements.
This change results in 5% - 15% improvement in total
speed(ie all tokens/total time), across various batch
sizes. This is in comparision with the corresponding
dot product implementation.
The patch is tested with FP32 models of Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf on a IBM POWER10 machine.
Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2025-03-28 09:43:22 +02:00
c7b43ab608
llamafile : ppc64le MMA implementation for Q4_0. ( #12489 )
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This change upstreams llamafile's cpu matrix
multiplication kernels for ppc64le ISA using MMA
builtins. This patch handles matrix multiplication
between quantised datatypes, block_q4_0 and
block_q8_0.
This change results in 5% - 50% improvement
in total speed(ie all tokens/total time), across
various batch sizes.
The patch is tested with Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf models on a
IBM POWER10 machine.
Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2025-03-27 08:51:47 +02:00
8a8c4ceb60
llamafile: use member variable instead of constant for iq4nlt ( #11780 )
2025-02-13 18:05:04 +01:00
8cef75c743
llamafile : ppc64le MMA INT8 implementation ( #10912 )
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This change upstreams llamafile's cpu matrix
multiplication kernels for ppc64le using MMA
builtins for quantised int8 datatype.
This change results in 10% - 70% improvement
in total speed(ie all tokens/total time), across
various batch sizes.
The patch is tested with Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf models on a
IBM POWER10 machine.
Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2025-01-08 12:54:19 +02:00
0827b2c1da
ggml : fixes for AVXVNNI instruction set with MSVC and Clang ( #11027 )
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* Fixes for clang AVX VNNI
* enable AVX VNNI and alder lake build for MSVC
* Apply suggestions from code review
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Co-authored-by: slaren <slarengh@gmail.com>
2024-12-31 15:23:33 +01:00
2cd43f4900
ggml : more perfo with llamafile tinyblas on x86_64 ( #10714 )
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* more perfo with llamafile tinyblas on x86_64.
- add bf16 suport
- change dispache strategie (thanks:
https://github.com/ikawrakow/ik_llama.cpp/pull/71 )
- reduce memory bandwidth
simple tinyblas dispache and more cache freindly
* tinyblas dynamic dispaching
* sgemm: add M blocs.
* - git 2.47 use short id of len 9.
- show-progress is not part of GNU Wget2
* remove not stable test
2024-12-24 18:54:49 +01:00
9177484f58
ggml : fix arm build ( #10890 )
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* ggml: GGML_NATIVE uses -mcpu=native on ARM
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* ggml: Show detected features with GGML_NATIVE
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* remove msvc support, add GGML_CPU_ARM_ARCH option
* disable llamafile in android example
* march -> mcpu, skip adding feature macros
ggml-ci
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Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Co-authored-by: Adrien Gallouët <angt@huggingface.co>
2024-12-18 23:21:42 +01:00
7cc2d2c889
ggml : move AMX to the CPU backend ( #10570 )
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* ggml : move AMX to the CPU backend
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-29 21:54:58 +01:00
db4cfd5dbc
llamafile : fix include path ( #0 )
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ggml-ci
2024-11-16 20:36:26 +02:00
ae8de6d50a
ggml : build backends as libraries ( #10256 )
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* ggml : build backends as libraries
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com>
2024-11-14 18:04:35 +01:00
shalinib-ibm
Aaron Teo
Diego Devesa
amritahs-ibm
Jeffrey Morgan
Srihari-mcw
Djip007
Georgi Gerganov